Deep learning is a sub class of machine learning. Deep learning is based upon supervised and unsupervised learning methods, which are based on artificial neural network. Its architecture consists of multiple processing layers. Each layer produces nonlinear response, which is generated using the response of previous layer. Deep learning functions by imitating the human brain working for data processing and pattern creation. It uses a network, which is capable of learning from unsupervised data. This book presents a practical approach to implement deep learning architectures using Python programming.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain AnuragDr. Anurag Jain, Dr. Shamik Tiwari and Mr. Varun Sapra are data science expert having rich experience in the area of machine learning & deep learning. Currently, They are associated with University of Petroleum and Enginee. N° de réf. du vendeur 385661922
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deep learning is a sub class of machine learning. Deep learning is based upon supervised and unsupervised learning methods, which are based on artificial neural network. Its architecture consists of multiple processing layers. Each layer produces nonlinear response, which is generated using the response of previous layer. Deep learning functions by imitating the human brain working for data processing and pattern creation. It uses a network, which is capable of learning from unsupervised data. This book presents a practical approach to implement deep learning architectures using Python programming. 68 pp. Englisch. N° de réf. du vendeur 9786139915514
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning is a sub class of machine learning. Deep learning is based upon supervised and unsupervised learning methods, which are based on artificial neural network. Its architecture consists of multiple processing layers. Each layer produces nonlinear response, which is generated using the response of previous layer. Deep learning functions by imitating the human brain working for data processing and pattern creation. It uses a network, which is capable of learning from unsupervised data. This book presents a practical approach to implement deep learning architectures using Python programming. N° de réf. du vendeur 9786139915514
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Taschenbuch. Etat : Neu. Neuware -Deep learning is a sub class of machine learning. Deep learning is based upon supervised and unsupervised learning methods, which are based on artificial neural network. Its architecture consists of multiple processing layers. Each layer produces nonlinear response, which is generated using the response of previous layer. Deep learning functions by imitating the human brain working for data processing and pattern creation. It uses a network, which is capable of learning from unsupervised data. This book presents a practical approach to implement deep learning architectures using Python programming.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. N° de réf. du vendeur 9786139915514
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